一种基于心理物理模型的用户依从性评估方法及系统
By constructing and comparing psychophysical models and nested models, and analyzing user response patterns, this study solves the problem of compliance assessment in existing training systems, and achieves objective, low-cost, real-time compliance assessment and personalized training control, applicable to visual, cognitive, and neuromodulation training.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU JUEHUA MEDICAL TECH CO LTD
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing training systems lack effective methods for assessing compliance, making it difficult to accurately determine user behavior patterns, which affects training effectiveness and data reliability. Furthermore, existing peripheral monitoring devices are expensive or subjective reports are unreliable.
By constructing a psychophysical model and using maximum likelihood estimation and nested model comparison, we can analyze users' response patterns under different stimulus intensities, calculate compliance scores, and conduct objective evaluations in conjunction with auxiliary information.
It achieves objective and low-cost assessment of compliance, can identify the difference between random guessing and stable responses, provides real-time feedback and personalized training control, and is applicable to a variety of task types.
Smart Images
Figure CN122398201A_ABST